Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
General Greedy De-Bias Learning.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Open-Set Knowledge-Based Visual Question Answering with Inference Paths.
CoRR, 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation.
CoRR, 2023
RoboChat: A Unified LLM-Based Interactive Framework for Robotic Systems.
Proceedings of the 5th International Conference on Robotics, 2023
All in a Row: Compressed Convolution Networks for Graphs.
Proceedings of the International Conference on Machine Learning, 2023
Synthesizing Counterfactual Samples for Effective Image-Text Matching.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Learning Linguistic Association Towards Efficient Text-Video Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022
Attribute Group Editing for Reliable Few-shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Automatic Relation-aware Graph Network Proliferation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Edge-featured Graph Neural Architecture Search.
CoRR, 2021
Greedy Gradient Ensemble for Robust Visual Question Answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020
A Multi-scale Dehazing Network with Transmission Range Stretching.
Proceedings of the Big Data - 6th CCF Conference, 2018